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  1. 681

    CORRELATION BETWEEN APOPROTEIN B/APOPROTEIN A-I RATIO WITH HOMA IR VALUE (HOMEOSTATIC MODEL ASSESMENT INSULIN RESISTANCE) IN TYPE 2 DIABETES MELLITUS by Muhammad Rafli Afandi, Ferdy Royland Marpaung

    Published 2019-12-01
    “…This study uses Pearson correlation test method with SPSS 22.0 for Windows program. Results: The result of Pearson correlation test between apoprotein B/apoprotein A-I ratio with HOMA-IR in 100 samples is a strong and significant correlation value  (r=0,610, p<0,05).Conclusion: There is a strong correlation between the apoprotein B/apoprotein A-I ratio with HOMA-IR in patients with type 2 diabetes mellitus.…”
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  2. 682

    Optimization of Rider Scheduling for a Food Delivery Service in O2O Business by Guiqin Xue, Zheng Wang, Guan Wang

    Published 2021-01-01
    “…Additional sensitivity analyses, such as the tightness of the order time windows associated with the orders and riders’ familiarity with delivery regions, are also discussed…”
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  3. 683

    Assessment of the Correspondence Between User Needs and Classroom Design Criteria for Pre-Schoolers with Autism Spectrum Disorder in Turkey by ABDALLAH Luqmaan Fihri, ERÇİN Çilen

    Published 2024-12-01
    “…Visual cues and acoustical considerations were not fully utilized, and the placement of windows did not optimize natural lighting. Additionally, teachers rated their classrooms poorly in terms of suitability for student needs and learning. …”
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  4. 684

    Smart In-Cabin Air Monitoring System using IoT Technologies by Falah Y H Ahmed, Jabar H. Yousif, Marwan Alshar’e, Maram El Sheikh, Ehsan Al-Ajmi, Mahmood Al-Bahri

    Published 2024-01-01
    “…If the readings continue to depreciate, the Arduino will roll down the windows slightly allowing fresh air into the cabin, message the driver again to inform them of the action taken and alert the authorities to act immediately in case medical assistance is required. …”
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    Article
  5. 685

    Dissociating the roles of alpha oscillation sub-bands in visual working memory by Na Zhao, Qiang Liu

    Published 2025-02-01
    “…Multivariate decoding analyses showed that all alpha sub-bands accurately decoded both set size and spatial extent across time windows, with lower alpha achieving better decoding performance during the early maintenance phase and upper alpha excelling in later stages. …”
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  6. 686

    Maternal Serum Nitric Oxide Levels in Adolescent Pregnancies by Hasan Onur Topçu, Ali İrfan Güzel, Kuntay Kokanalı, Sabri Cavkaytar, Dilek Uygur, Salim Erkaya

    Published 2014-08-01
    “…Statistical analyses were carried out by using the statistical packages for SPSS 15.0 for Windows (SPSS Inc., Chicago, IL, USA) with Chi-square (χ2) test and Student’s t test. …”
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  7. 687

    Computing nasalance with MFCCs and Convolutional Neural Networks. by Andrés Lozano, Enrique Nava, María Dolores García Méndez, Ignacio Moreno-Torres

    Published 2024-01-01
    “…The input to the CNN models were sequences of 39 MFCC vectors computed from 250 ms moving windows. The test data were recorded in Spain and included short words (-dynamic), sentences (+dynamic), and diadochokinetic syllables (+dynamic). …”
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  8. 688

    Privacy-preserving data compression scheme for k-anonymity model based on Huffman coding by Yue YU, Xianzheng LIN, Weihai LI, Nenghai YU

    Published 2023-08-01
    “…The k-anonymity model is widely used as a data anonymization technique for privacy protection during the data release phase.However, with the advent of the big data era, the generation of vast amounts of data poses challenges to data storage.However, it is not feasible to expand the storage space infinitely by hardware upgrade, since the cost of memory is high and the storage space is limited.For this reason, data compression techniques can reduce storage costs and communication overhead.In order to reduce the storage space of the data generated by using anonymization techniques in the data publishing phase, a compression scheme was proposed for the original data and anonymized data of the k-anonymity model.For the original data of the k-anonymity model, the difference between the original data and the anonymized data was calculated according to the set rules and the pre-defined generalization level.Huffman coding compression was applied to the difference data according to frequency characteristics.By storing the difference data, the original data can be obtained indirectly, thus reducing the storage space of the original data.For anonymized data of the k-anonymity model, the anonymized data usually have high repeatability according to the generalization rules of the model or the pre-defined generalization hierarchy relations.The larger the value of k, the more generalized and repeatable the anonymized data becomes.The design of Huffman coding compression was implemented for anonymous data to reduce storage space.The experimental results show that the proposed scheme can significantly reduce the original data and the anonymous data compression rate of the k-anonymity model.Across five models and variousk-value settings,the proposed scheme reduces the compression rate of raw and anonymized data by 72.2% and 64.2% on average compared to the Windows 11 zip tool.…”
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  9. 689

    Estimation of Wind Turbine Blade Icing Volume Based on Binocular Vision by Fangzheng Wei, Zhiyong Guo, Qiaoli Han, Wenkai Qi

    Published 2024-12-01
    “…The method employs a stereo matching algorithm that combines dynamic windows, multi-feature fusion, and reordering, integrating gradient, color, and other information to generate matching costs. …”
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  10. 690

    Evaluation of Effective Bond Strength of Composite Resin to Etched Dentin after Dentin Pretreatment: An In-vitro Study by Muhammed Bilal, Shiraz Pasha, Arathi S. Nair

    Published 2024-12-01
    “…Statistical Analysis Used: The Statistical Package for the Social Sciences (SPSS) for Windows, Version 22.0. released in 2013. Armonk, NY, USA: IBM Corp. was used to perform statistical analyses. …”
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  11. 691

    The Impact of Inter-Generational Relationships on Depressive Symptoms in Elderly Parents in Rural Jammu, India by Richa Mahajan, Hemaal Koul, Rajiv K Gupta, Riya Gupta, Bhavna Langer, Rashmi Kumari, Tasvinder Kour, Nahida Chowdhary

    Published 2025-02-01
    “…Results were determined by ANOVA and binary logistic regression using IBM SPSS Statistics for Windows, version 20.0. Results: The mean score with standard deviation for the Geriatric Depression Score was 3.97 ± 3.78, indicating a lower level of depressive symptoms. …”
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  12. 692

    Necrotizing enterocolitis in premature infants: the importance of risk factors in its development by I.I. Huseynova, R.O. Baylarov, P.A. Orujova

    Published 2024-09-01
    “…Statistical processing of indicators was carried out in the Windows SPSS20 system. Differences at p˂0.05 were considered reliable. …”
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  13. 693

    Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids by Tao Wang, Xiaoguang Wei, Tao Huang, Jun Wang, Luis Valencia-Cabrera, Zhennan Fan, Mario J. Pérez-Jiménez

    Published 2019-01-01
    “…In addition, two time windows, i.e., the virus infection cycle and the tripping time of overloaded branches, are considered to analyze the fault characteristics of both electrical branches and communication nodes along time under virus propagation. …”
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  14. 694

    Learning styles used by first-year undergraduate students in Medical Sciences. Cienfuegos, 2019-2020 by María Cristina Núñez Martínez, Lizgrace Llano Arana, Addys Teresita Stable Rodríguez, Ana Lidia Suárez Denis, Rosa María Masot Rivero, Daylis García Morales

    Published 2022-03-01
    “…The results were statistically processed, applying the Microsoft Excel spreadsheet and the SPSS professional package for Windows version 11.0. <strong><br />Results:</strong> the learning strategies and styles used by the students were identified, relating them to the academic results of the first year of the degree. …”
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  15. 695

    Uptake and Determinants of Tetanus Vaccination among Female Clinical Medical Students in North-Western Nigeria by Muhammad Shakur Abubakar

    Published 2024-05-01
    “…The data were analyzed using the Statistical Product and Service Solutions (SPSS) for Windows version 23. Prevalences of tetanus vaccination were calculated. …”
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  16. 696

    Risk Factors for Decreased Pelvic Floor Muscle Strength: Which is More Effective? by Omer Demir, Cihan Comba

    Published 2021-04-01
    “…The intention was then to compare these two groups. The SPSS 21.0 for Windows program was used to perform statistical evaluations. …”
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  17. 697

    Prevalence, correlates and explanatory models of cognitive deficits in patients with schizophrenia—A cross sectional study by Chithra Uppinkudru, Rajesh Gopalakrishnan, Joseph Noel, Anju Kuruvilla

    Published 2023-10-01
    “…Statistical analysis was done using SPSS for Windows (version 16.0.1). Results: One hundred and forty patients participated in the study. …”
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  18. 698

    Pioneering the use of micro-biomarkers in oral cancer detection by Namrutha D Shekar, L. Kayal, N. Aravindha Babu, Mukesh Kumar Dharmalingam Jothinathan, Iadalin Ryntathiang

    Published 2024-06-01
    “…Molecular markers that microbes leave behind while colonizing a cancerous site may serve as windows into early diagnosis and prevention. Two examples of these are Corynebacterium and Fusobacterium. …”
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  19. 699

    Idiosyncratic gesture use in a mother-infant dyad in chimpanzees (Pan troglodytes schweinfurthii) in the wild by Bas van Boekholt, Isabelle Clark, Nicole J. Lahiff, Kevin C. Lee, Katie E. Slocombe, Claudia Wilke, Simone Pika

    Published 2024-10-01
    “…It also stresses the crucial need for longitudinal approaches to tackle developmental processes that are triggered by unique circumstances and unfold over relatively long time windows.…”
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  20. 700

    Smartphone-Based Experimental Analysis of Rainfall Effects on LTE Signal Indicators by Yiyi Xu, Kai Wu, J. Andrew Zhang, Zhongqin Wang, Beeshanga A. Jayawickrama, Y. Jay Guo

    Published 2025-01-01
    “…We examine both small-scale and large-scale variations in signal measurements across dry and rainy days, considering diverse locations and time windows. Through statistical and spectral analysis of a large dataset, we uncover novel insights into how rainfall influences cellular communication links. …”
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